Going Meta – Ep 21: Vector-based Semantic Search and Graph-based Semantic Search

29 Sep, 2023



Episode 21 of Going Meta – A Series on Graphs, Semantics and Knowledge Jesús Barrasa: https://twitter.com/BarrasaDV Repository: https://github.com/jbarrasa/goingmeta Previous episodes: https://neo4j.com/video/going-meta-a-series-on-graphs-semantics-and-knowledge/ Recap of 20 Episodes Going Meta: https://medium.com/neo4j/20-episodes-of-going-meta-a-recap-5a0ccd689c6c Vector Search: https://neo4j.com/blog/vector-search-deeper-insights/ Cypher Manual: https://neo4j.com/docs/cypher-manual/current/indexes-for-vector-search/ Semantic Similarities (Ep 16): https://youtube.com/live/WwTxlyjY35I Semantic Search. A worked example (Ep 2): https://youtube.com/live/y6eCKIRsA64 0:00 Intro & Welcome 6:40 Vector-based Semantic Search and Graph-based Semantic Search Overview 19:45 Prep the Graph 35:30 Computing Similarities 50:55 Q&A 59:21 Wrap-Up Check out https://community.neo4j.com/ for questions and discussions around Neo4j #neo4j #graphdatabase #semantic #knowledgegraph #rdf #semantics

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